AI Systems Engineer

Pike Corporation•Fort Mill, SC

20h

About The Position

Position Summary: The AI Systems Engineer will work on projects that integrate AI into various business verticals and programs, including Oracle-based enterprise applications while ensuring scalability, security, and compliance. In addition to Oracle, this role will be responsible for proposals, prototypes, and guide implementation of AI in tools across our application and reporting ecosystem. Essential Functions: Establish clear and measurable goals for AI implementation in various business verticals. Build prototypes and production-ready AI solutions within the Oracle AI ecosystem, as well as other applications and business areas. Partner with business process owners to explore use cases in the AI space inside Oracle enterprise systems and other enterprise applications or processes. Monitor AI implementations and evaluate effectiveness to ensure value is achieved. Explore and implement AI solutions using Oracle AI Services (e.g., Oracle Fusion AI Agent Studio, Oracle Apex AI). Conduct research on integrating machine learning models with Oracle Autonomous Database and Oracle Analytics Cloud. Develop and optimize AI models using Oracle Data Science platform and OCI Data Flow. Ensure AI solutions meet Pike security standards and comply with data governance policies. Stay updated on both Oracle’s AI roadmap and other AI technologies. Monitor emerging technologies in cloud-based AI. Minimum Requirements: Undergraduate or master’s degree in computer science, Artificial Intelligence, or related field, plus 3 years of relevant work experience. Strong, demonstrated knowledge of Oracle Cloud Infrastructure and Oracle AI Services. Proficiency in Python, SQL, and Oracle Data Science SDK. Skills in data preprocessing, cleaning, and manipulation. Understanding of model evaluation metrics such as accuracy, precision, recall, and F1-score. Experience with Oracle Autonomous Database and Oracle Analytics Cloud. Strong knowledge of general AI technologies, LLMs, ML, GenAI, NLP, and Predictive AI. Familiarity with AI ethics, bias mitigation, and responsible AI practices. Experience with additional AI platforms or frameworks (e.g., TensorFlow, PyTorch). Knowledge of enterprise application development and integration patterns. Physical Demands: The physical demands described here are representative of those that must be met by an employee to successfully perform the essential functions of this job. While performing the duties of this job, the employee is regularly required to talk or hear. The employee is frequently required to stand; walk; use hands and fingers to handle, feel, or operate objects, tools or controls; reach with hands and arms. Work Environment: While performing the duties of this job, the employee is not substantially exposed to adverse environmental conditions (such as in typical office or administrative work). The employee may be subject to one or more of the following atmospheric conditions that affect the respiratory system of the skin: fumes, odors, dust, mists, gases, or poor ventilation. Competencies: Self-Motivated Team-Oriented Customer Oriented Collaborative Skills Problem Solving/Analysis Personal Commitment and Accountability Relationship Management Must be able to follow Company safety rules and all other Company policies. Pike is an Equal Opportunity Employer EOE/Minorities/Females/Vet/Disabled NOTE: This job description is not intended to be all-inclusive. Employee may perform other related duties as required to meet the ongoing needs of the organization

Requirements

Undergraduate or master’s degree in computer science, Artificial Intelligence, or related field, plus 3 years of relevant work experience.
Strong, demonstrated knowledge of Oracle Cloud Infrastructure and Oracle AI Services.
Proficiency in Python, SQL, and Oracle Data Science SDK.
Skills in data preprocessing, cleaning, and manipulation.
Understanding of model evaluation metrics such as accuracy, precision, recall, and F1-score.
Experience with Oracle Autonomous Database and Oracle Analytics Cloud.
Strong knowledge of general AI technologies, LLMs, ML, GenAI, NLP, and Predictive AI.
Familiarity with AI ethics, bias mitigation, and responsible AI practices.
Knowledge of enterprise application development and integration patterns.

Nice To Haves

Experience with additional AI platforms or frameworks (e.g., TensorFlow, PyTorch).

Responsibilities

Establish clear and measurable goals for AI implementation in various business verticals.
Build prototypes and production-ready AI solutions within the Oracle AI ecosystem, as well as other applications and business areas.
Partner with business process owners to explore use cases in the AI space inside Oracle enterprise systems and other enterprise applications or processes.
Monitor AI implementations and evaluate effectiveness to ensure value is achieved.
Explore and implement AI solutions using Oracle AI Services (e.g., Oracle Fusion AI Agent Studio, Oracle Apex AI).
Conduct research on integrating machine learning models with Oracle Autonomous Database and Oracle Analytics Cloud.
Develop and optimize AI models using Oracle Data Science platform and OCI Data Flow.
Ensure AI solutions meet Pike security standards and comply with data governance policies.
Stay updated on both Oracle’s AI roadmap and other AI technologies.
Monitor emerging technologies in cloud-based AI.